![[movies]](/images/mediatype_movies.gif) | MIT 6.050J / 2.110J Information and Entropy, Spring 2008 - MIT OpenCourseWare
Instructors: Paul Penfield, Seth Lloyd This course explores the ultimate limits to communication and computation, with an emphasis on the physical nature of information and information processing. Topics include: information and computation, digital signals, codes and compression, applications such as biological representations of information, logic circuits, computer architectures, and algorithmic information, noise, probability, error correction, reversible and irreversible operations, physics...
Keywords: information and entropy; computing; communications; thermodynamics; digital signals and streams; codes; compression; noise; probability; reversible operations; irreversible operations; information in biological systems; channel capacity; maximum-entropy formalism; thermodynamic equilibrium; temperature; second law of thermodynamics quantum computation
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